| Year |
Citation |
Score |
| 2023 |
Htun HH, Biehl M, Petkov N. Survey of feature selection and extraction techniques for stock market prediction. Financial Innovation. 9: 26. PMID 36687795 DOI: 10.1186/s40854-022-00441-7 |
0.578 |
|
| 2020 |
van Veen R, Gurvits V, Kogan RV, Meles SK, de Vries GJ, Renken RJ, Rodriguez-Oroz MC, Rodriguez-Rojas R, Arnaldi D, Raffa S, de Jong BM, Leenders KL, Biehl M. An application of generalized matrix learning vector quantization in neuroimaging. Computer Methods and Programs in Biomedicine. 197: 105708. PMID 32977181 DOI: 10.1016/J.Cmpb.2020.105708 |
0.355 |
|
| 2020 |
Owomugisha G, Mugagga PKB, Melchert F, Mwebaze E, Quinn JA, Biehl M. A low-cost 3-D printed smartphone add-on spectrometer for diagnosis of crop diseases in field. The Compass. 331-332. DOI: 10.1145/3378393.3402252 |
0.737 |
|
| 2020 |
Pfannschmidt L, Jakob J, Hinder F, Biehl M, Tino P, Hammer B. Feature Relevance Determination for Ordinal Regression in the Context of Feature Redundancies and Privileged Information Neurocomputing. DOI: 10.1016/J.Neucom.2019.12.133 |
0.356 |
|
| 2019 |
Nolte A, Wang L, Bilicki M, Holwerda B, Biehl M. Galaxy classification: A machine learning analysis of GAMA catalogue data Neurocomputing. 342: 172-190. DOI: 10.1016/J.Neucom.2018.12.076 |
0.37 |
|
| 2019 |
Melchert F, Bani G, Seiffert U, Biehl M. Adaptive basis functions for prototype-based classification of functional data Neural Computing and Applications. 1-11. DOI: 10.1007/S00521-019-04299-2 |
0.361 |
|
| 2019 |
Straat M, Kaden M, Villmann T, Lampe A, Seiffert U, Biehl M, Melchert F. Learning vector quantization and relevances in complex coefficient space Neural Computing and Applications. 1-15. DOI: 10.1007/S00521-019-04080-5 |
0.395 |
|
| 2018 |
Straat M, Abadi F, Göpfert C, Hammer B, Biehl M. Statistical Mechanics of On-Line Learning Under Concept Drift. Entropy (Basel, Switzerland). 20. PMID 33265863 DOI: 10.3390/e20100775 |
0.356 |
|
| 2018 |
Straat M, Abadi F, Göpfert C, Hammer B, Biehl M. Statistical Mechanics of On-Line Learning Under Concept Drift Entropy. 20: 775. DOI: 10.3390/E20100775 |
0.462 |
|
| 2018 |
Aiolli F, Biehl M, Oneto L. Advances in artificial neural networks, machine learning and computational intelligence Neurocomputing. 298: 1-3. DOI: 10.1016/J.Neucom.2017.04.038 |
0.355 |
|
| 2016 |
Biehl M, Hammer B, Villmann T. Prototype-based models in machine learning. Wiley Interdisciplinary Reviews. Cognitive Science. 7: 92-111. PMID 26800334 DOI: 10.1002/Wcs.1378 |
0.668 |
|
| 2016 |
Mudali D, Biehl M, Meles SK, Renken RJ, García-García D, Clavero P, Arbizu J, Obeso JA, Rodriguez-Oroz MC, Leenders KL, Roerdink JBTM. Differentiating Early and Late Stage Parkinson’s Disease Patients from Healthy Controls Journal of Biomedical Engineering and Medical Imaging. 3: 33-43. DOI: 10.14738/Jbemi.36.2280 |
0.769 |
|
| 2016 |
Biehl M, Hammer B, Villmann T. Prototype-based Models for the Supervised Learning of Classification Schemes Proceedings of the International Astronomical Union. 12: 129-138. DOI: 10.1017/S1743921316012928 |
0.639 |
|
| 2016 |
Villmann T, Kaden M, Hermann W, Biehl M. Learning vector quantization classifiers for ROC-optimization Computational Statistics. 1-22. DOI: 10.1007/S00180-016-0678-Y |
0.67 |
|
| 2016 |
Mwebaze E, Biehl M. Prototype-based classification for image analysis and its application to crop disease diagnosis Advances in Intelligent Systems and Computing. 428: 329-339. DOI: 10.1007/978-3-319-28518-4_29 |
0.742 |
|
| 2016 |
Gay M, Kaden M, Biehl M, Lampe A, Villmann T. Complex variants of GLVQ based on Wirtinger’s calculus Advances in Intelligent Systems and Computing. 428: 293-303. DOI: 10.1007/978-3-319-28518-4_26 |
0.481 |
|
| 2016 |
Biehl M, Hammer B, Villmann T. Prototype-based models in machine learning Wiley Interdisciplinary Reviews: Cognitive Science. 7: 92-111. DOI: 10.1002/wcs.1378 |
0.599 |
|
| 2015 |
Biehl M, Hammer B, Schleif FM, Schneider P, Villmann T. Stationarity of Matrix Relevance LVQ Proceedings of the International Joint Conference On Neural Networks. 2015. DOI: 10.1109/IJCNN.2015.7280441 |
0.503 |
|
| 2015 |
Biehl M, Ghio A, Schleif FM. Developments in computational intelligence and machine learning Neurocomputing. DOI: 10.1016/J.Neucom.2015.03.062 |
0.362 |
|
| 2015 |
de Vries GJJ, Pauws SC, Biehl M. Insightful stress detection from physiology modalities using Learning Vector Quantization Neurocomputing. 151: 873-882. DOI: 10.1016/J.Neucom.2014.10.008 |
0.348 |
|
| 2015 |
Lange M, Biehl M, Villmann T. Non-Euclidean principal component analysis by Hebbian learning Neurocomputing. 147: 107-119. DOI: 10.1016/J.Neucom.2013.11.049 |
0.642 |
|
| 2015 |
Giotis I, Molders N, Land S, Biehl M, Jonkman MF, Petkov N. MED-NODE: A computer-assisted melanoma diagnosis system using non-dermoscopic images Expert Systems With Applications. 42: 6578-6585. DOI: 10.1016/J.Eswa.2015.04.034 |
0.604 |
|
| 2015 |
Schleif FM, Hammer B, Monroy JG, Jimenez JG, Blanco-Claraco JL, Biehl M, Petkov N. Odor recognition in robotics applications by discriminative time-series modeling Pattern Analysis and Applications. DOI: 10.1007/S10044-014-0442-2 |
0.648 |
|
| 2015 |
Villmann T, Kaden M, Nebel D, Biehl M. Learning vector quantization with adaptive cost-based outlier-rejection Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 9257: 772-782. DOI: 10.1007/978-3-319-23117-4_66 |
0.6 |
|
| 2014 |
Biehl M, Hammer B, Villmann T. Distance measures for prototype based classification Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 8603: 100-116. DOI: 10.1007/978-3-319-12084-3_9 |
0.522 |
|
| 2013 |
Alegre E, Biehl M, Petkov N, Sanchez L. Assessment of acrosome state in boar spermatozoa heads using n-contours descriptor and RLVQ Computer Methods and Programs in Biomedicine. 111: 525-536. PMID 23790406 DOI: 10.1016/J.Cmpb.2013.05.003 |
0.64 |
|
| 2013 |
Biehl M, Bunte K, Schneider P. Analysis of Flow Cytometry Data by Matrix Relevance Learning Vector Quantization Plos One. 8. PMID 23527184 DOI: 10.1371/Journal.Pone.0059401 |
0.809 |
|
| 2013 |
Strickert M, Hammer B, Villmann T, Biehl M. Regularization and improved interpretation of linear data mappings and adaptive distance measures Proceedings of the 2013 Ieee Symposium On Computational Intelligence and Data Mining, Cidm 2013 - 2013 Ieee Symposium Series On Computational Intelligence, Ssci 2013. 10-17. DOI: 10.1109/CIDM.2013.6597211 |
0.523 |
|
| 2013 |
Giotis I, Bunte K, Petkov N, Biehl M. Erratum to: Adaptive Matrices and Filters for Color Texture Classification Journal of Mathematical Imaging and Vision. 48: 202-202. DOI: 10.1007/S10851-013-0472-1 |
0.776 |
|
| 2013 |
Giotis I, Bunte K, Petkov N, Biehl M. Adaptive matrices and filters for color texture classification Journal of Mathematical Imaging and Vision. 47: 79-92. DOI: 10.1007/S10851-012-0356-9 |
0.803 |
|
| 2013 |
Biehl M, Kästner M, Lange M, Villmann T. Non-Euclidean principal component analysis and Oja's learning rule - Theoretical aspects Advances in Intelligent Systems and Computing. 198: 23-33. DOI: 10.1007/978-3-642-35230-0_3 |
0.648 |
|
| 2012 |
Huber MB, Bunte K, Nagarajan MB, Biehl M, Ray LA, Wismüller A. Texture feature ranking with relevance learning to classify interstitial lung disease patterns. Artificial Intelligence in Medicine. 56: 91-7. PMID 23010586 DOI: 10.1016/J.Artmed.2012.07.001 |
0.744 |
|
| 2012 |
Bunte K, Schneider P, Hammer B, Schleif FM, Villmann T, Biehl M. Limited Rank Matrix Learning, discriminative dimension reduction and visualization Neural Networks. 26: 159-173. PMID 22041220 DOI: 10.1016/J.Neunet.2011.10.001 |
0.809 |
|
| 2012 |
Bunte K, Schneider P, Hammer B, Schleif FM, Villmann T, Biehl M. Limited Rank Matrix Learning, discriminative dimension reduction and visualization Neural Networks. 26: 159-173. PMID 22041220 DOI: 10.1016/j.neunet.2011.10.001 |
0.304 |
|
| 2012 |
Bunte K, Biehl M, Hammer B. A general framework for dimensionality-reducing data visualization mapping Neural Computation. 24: 771-804. DOI: 10.1162/Neco_A_00250 |
0.716 |
|
| 2012 |
Peters G, Bunte K, Strickert M, Biehl M, Villmann T. Visualization of processes in self-learning systems 2012 10th Annual International Conference On Privacy, Security and Trust, Pst 2012. 244-249. DOI: 10.1109/PST.2012.6297953 |
0.771 |
|
| 2012 |
Biehl M, Bunte K, Schleif FM, Schneider P, Villmann T. Large margin linear discriminative visualization by matrix relevance learning Proceedings of the International Joint Conference On Neural Networks. DOI: 10.1109/IJCNN.2012.6252627 |
0.785 |
|
| 2012 |
Kastner M, Nebel D, Riedel M, Biehl M, Villmann T. Differentiable kernels in generalized matrix learning vector quantization Proceedings - 2012 11th International Conference On Machine Learning and Applications, Icmla 2012. 1: 132-137. DOI: 10.1109/ICMLA.2012.231 |
0.614 |
|
| 2012 |
Bunte K, Haase S, Biehl M, Villmann T. Stochastic neighbor embedding (SNE) for dimension reduction and visualization using arbitrary divergences Neurocomputing. 90: 23-45. DOI: 10.1016/J.Neucom.2012.02.034 |
0.771 |
|
| 2012 |
Kästner M, Hammer B, Biehl M, Villmann T. Functional relevance learning in generalized learning vector quantization Neurocomputing. 90: 85-95. DOI: 10.1016/J.Neucom.2011.11.029 |
0.669 |
|
| 2012 |
Biehl M. Admire LVQ—Adaptive Distance Measures in Relevance Learning Vector Quantization Ki - KüNstliche Intelligenz. 26: 391-395. DOI: 10.1007/S13218-012-0188-1 |
0.42 |
|
| 2011 |
Arlt W, Biehl M, Taylor AE, Hahner S, Libé R, Hughes BA, Schneider P, Smith DJ, Stiekema H, Krone N, Porfiri E, Opocher G, Bertherat J, Mantero F, Allolio B, et al. Urine steroid metabolomics as a biomarker tool for detecting malignancy in adrenal tumors. The Journal of Clinical Endocrinology and Metabolism. 96: 3775-84. PMID 21917861 DOI: 10.1210/Jc.2011-1565 |
0.541 |
|
| 2011 |
Huber MB, Bunte K, Nagarajan MB, Biehl M, Ray LA, Wismueller A. Texture feature selection with relevance learning to classify interstitial lung disease patterns Progress in Biomedical Optics and Imaging - Proceedings of Spie. 7963. DOI: 10.1117/12.877894 |
0.75 |
|
| 2011 |
Bunte K, Biehl M, Hammer B. Dimensionality reduction mappings Ieee Ssci 2011: Symposium Series On Computational Intelligence - Cidm 2011: 2011 Ieee Symposium On Computational Intelligence and Data Mining. 349-356. DOI: 10.1109/CIDM.2011.5949443 |
0.659 |
|
| 2011 |
Bunte K, Biehl M, Jonkman MF, Petkov N. Learning effective color features for content based image retrieval in dermatology Pattern Recognition. 44: 1892-1902. DOI: 10.1016/J.Patcog.2010.10.024 |
0.793 |
|
| 2011 |
Bunte K, Hammer B, Villmann T, Biehl M, Wismüller A. Neighbor embedding XOM for dimension reduction and visualization Neurocomputing. 74: 1340-1350. DOI: 10.1016/J.Neucom.2010.11.027 |
0.796 |
|
| 2011 |
Mwebaze E, Schneider P, Schleif FM, Aduwo JR, Quinn JA, Haase S, Villmann T, Biehl M. Divergence-based classification in learning vector quantization Neurocomputing. 74: 1429-1435. DOI: 10.1016/J.Neucom.2010.10.016 |
0.795 |
|
| 2011 |
Bunte K, Giotis I, Petkov N, Biehl M. Adaptive matrices for color texture classification Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 6855: 489-497. DOI: 10.1007/978-3-642-23678-5_58 |
0.766 |
|
| 2011 |
Hammer B, Biehl M, Bunte K, Mokbel B. A general framework for dimensionality reduction for large data sets Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 6731: 277-287. DOI: 10.1007/978-3-642-21566-7_28 |
0.692 |
|
| 2010 |
Witoelar AW, Ghosh A, de Vries JJ, Hammer B, Biehl M. Window-based example selection in learning vector quantization. Neural Computation. 22: 2924-61. PMID 20804387 DOI: 10.1162/Neco_A_00030 |
0.822 |
|
| 2010 |
Schneider P, Bunte K, Stiekema H, Hammer B, Villmann T, Biehl M. Regularization in matrix relevance learning. Ieee Transactions On Neural Networks / a Publication of the Ieee Neural Networks Council. 21: 831-40. PMID 20236882 DOI: 10.1109/Tnn.2010.2042729 |
0.825 |
|
| 2010 |
Schneider P, Biehl M, Hammer B. Hyperparameter learning in probabilistic prototype-based models Neurocomputing. 73: 1117-1124. DOI: 10.1016/J.Neucom.2009.11.021 |
0.671 |
|
| 2010 |
Bunte K, Hammer B, Wismüller A, Biehl M. Adaptive local dissimilarity measures for discriminative dimension reduction of labeled data Neurocomputing. 73: 1074-1092. DOI: 10.1016/J.Neucom.2009.11.017 |
0.755 |
|
| 2010 |
Schleif FM, Villmann T, Hammer B, Schneider P, Biehl M. Generalized derivative based kernelized learning vector quantization Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 6283: 21-28. DOI: 10.1007/978-3-642-15381-5_3 |
0.625 |
|
| 2010 |
Villmann T, Haase S, Schleif FM, Hammer B, Biehl M. The mathematics of divergence based online learning in vector quantization Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 5998: 108-119. DOI: 10.1007/978-3-642-12159-3_10 |
0.81 |
|
| 2010 |
Mwebaze E, Schneider P, Schleif FM, Haase S, Villmann T, Biehl M. Divergence based learning vector quantization Proceedings of the 18th European Symposium On Artificial Neural Networks - Computational Intelligence and Machine Learning, Esann 2010. 247-252. |
0.303 |
|
| 2009 |
Schneider P, Biehl M, Hammer B. Adaptive relevance matrices in learning vector quantization. Neural Computation. 21: 3532-61. PMID 19764875 DOI: 10.1162/Neco.2009.11-08-908 |
0.683 |
|
| 2009 |
Schneider P, Biehl M, Hammer B. Distance learning in discriminative vector quantization. Neural Computation. 21: 2942-69. PMID 19635012 DOI: 10.1162/Neco.2009.10-08-892 |
0.688 |
|
| 2009 |
Schleif FM, Biehl M, Vellido A. Advances in machine learning and computational intelligence Neurocomputing. 72: 1377-1378. DOI: 10.1016/J.Neucom.2008.12.013 |
0.361 |
|
| 2009 |
Witoelar A, Biehl M. Phase transitions in vector quantization and neural gas Neurocomputing. 72: 1390-1397. DOI: 10.1016/J.Neucom.2008.10.023 |
0.423 |
|
| 2009 |
Biehl M, Hammer B, Schneider P, Villmann T. Metric learning for prototype-based classification Studies in Computational Intelligence. 247: 183-199. DOI: 10.1007/978-3-642-04003-0_8 |
0.768 |
|
| 2009 |
Bunte K, Hammer B, Biehl M. Nonlinear dimension reduction and visualization of labeled data Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 5702: 1162-1170. DOI: 10.1007/978-3-642-03767-2_141 |
0.688 |
|
| 2009 |
Strickert M, Keilwagen J, Schleif FM, Villmann T, Biehl M. Matrix metric adaptation linear discriminant analysis of biomedical data Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 5517: 933-940. DOI: 10.1007/978-3-642-02478-8_117 |
0.588 |
|
| 2009 |
Villmann T, Hammer B, Biehl M. Some theoretical aspects of the neural gas vector quantizer Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 5400: 23-34. DOI: 10.1007/978-3-642-01805-3_2 |
0.587 |
|
| 2009 |
Biehl M, Caticha N, Riegler P. Statistical mechanics of on-line learning Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 5400: 1-22. DOI: 10.1007/978-3-642-01805-3_1 |
0.821 |
|
| 2009 |
Biehl M, Hammer B, Verleysen M, Villmann T. Similarity-Based Clustering: Recent Developments and Biomedical Applications Springer Us. 5400. DOI: 10.1007/978-3-642-01805-3 |
0.631 |
|
| 2008 |
Weber S, Biehl M, Kotrla M, Kinzel W. Simulation of self-assembled nanopatterns in strained 2D alloys on the face centered cubic (111) surface. Journal of Physics. Condensed Matter : An Institute of Physics Journal. 20: 265004. PMID 21694353 DOI: 10.1088/0953-8984/20/26/265004 |
0.674 |
|
| 2008 |
Alegre E, Biehl M, Petkov N, Sánchez L. Automatic classification of the acrosome status of boar spermatozoa using digital image processing and LVQ. Computers in Biology and Medicine. 38: 461-8. PMID 18339365 DOI: 10.1016/J.Compbiomed.2008.01.005 |
0.635 |
|
| 2008 |
Witoelar A, Biehl M, Ghosh A, Hammer B. Learning dynamics and robustness of vector quantization and neural gas Neurocomputing. 71: 1210-1219. DOI: 10.1016/J.Neucom.2007.11.022 |
0.816 |
|
| 2008 |
Strickert M, Schneider P, Keilwagen J, Villmann T, Biehl M, Hammer B. Discriminatory data mapping by matrix-based supervised learning metrics Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 5064: 78-89. DOI: 10.1007/978-3-540-69939-2_8 |
0.596 |
|
| 2007 |
Biehl M, Merényi E, Rossi F. Advances in computational intelligence and learning Neurocomputing. 70: 1117-1119. DOI: 10.1016/J.Neucom.2006.12.001 |
0.367 |
|
| 2007 |
Walther M, Biehl M, Kinzel W. Formation and consequences of misfit dislocations in heteroepitaxial growth Physica Status Solidi (C) Current Topics in Solid State Physics. 4: 3210-3220. DOI: 10.1002/Pssc.200775414 |
0.771 |
|
| 2006 |
Ghosh A, Biehl M, Hammer B. Performance analysis of LVQ algorithms: a statistical physics approach. Neural Networks : the Official Journal of the International Neural Network Society. 19: 817-29. PMID 16781845 DOI: 10.1016/j.neunet.2006.05.010 |
0.806 |
|
| 2006 |
Biehl M, Ghosh A, Hammer B. Learning vector quantization: The dynamics of winner-takes-all algorithms Neurocomputing. 69: 660-670. DOI: 10.1016/J.Neucom.2005.12.007 |
0.825 |
|
| 2005 |
Bunzmann C, Biehl M, Urbanczik R. Efficient training of multilayer perceptrons using principal component analysis. Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics. 72: 026117. PMID 16196654 DOI: 10.1103/Physreve.72.026117 |
0.787 |
|
| 2004 |
Volkmann T, Ahr M, Biehl M. Kinetic model of II-VI(001) semiconductor surfaces: Growth rates in atomic layer epitaxy Physical Review B - Condensed Matter and Materials Physics. 69: 165303-1-165303-10. DOI: 10.1103/Physrevb.69.165303 |
0.768 |
|
| 2003 |
Biehl M, Ahr M, Kinzel W, Much F. Kinetic Monte Carlo simulations of heteroepitaxial growth Thin Solid Films. 428: 52-55. DOI: 10.1016/S0040-6090(02)01267-1 |
0.772 |
|
| 2003 |
Biehl M. The Statistical Physics of Learning: Phase Transitions and Dynamical Symmetry Breaking Springer Us. 89-101. DOI: 10.1007/978-3-662-05594-6_9 |
0.312 |
|
| 2002 |
Biehl M, Kinzel W. Terrace Sizes and Particle Currents in Epitaxial Growth Jsme International Journal Series B-Fluids and Thermal Engineering. 45: 112-116. DOI: 10.1299/Jsmeb.45.112 |
0.682 |
|
| 2002 |
Ahr M, Biehl M. Flat (001) surfaces of II–VI semiconductors: a lattice gas model Surface Science. 505: 124-136. DOI: 10.1016/S0039-6028(02)01145-7 |
0.765 |
|
| 2002 |
Much F, Ahr M, Biehl M, Kinzel W. A kinetic Monte Carlo method for the simulation of heteroepitaxial growth Computer Physics Communications. 147: 226-229. DOI: 10.1016/S0010-4655(02)00251-5 |
0.768 |
|
| 2002 |
Ahr M, Biehl M, Volkmann T. Modeling (001) surfaces of II–VI semiconductors Computer Physics Communications. 147: 107-110. DOI: 10.1016/S0010-4655(02)00226-6 |
0.774 |
|
| 2001 |
Bunzmann C, Biehl M, Urbanczik R. Efficiently learning multilayer perceptrons. Physical Review Letters. 86: 2166-9. PMID 11289881 DOI: 10.1103/Physrevlett.86.2166 |
0.798 |
|
| 2001 |
Ahr FMM, Biehl M, Kinzel W. Kinetic Monte Carlo simulations of dislocations in heteroepitaxial growth Epl. 56: 791-796. DOI: 10.1209/Epl/I2001-00589-8 |
0.688 |
|
| 2001 |
Biehl M, Ahr M, Kinzel W, Sokolowski M, Volkmann T. A lattice gas model of II-VI(001) semiconductor surfaces Europhysics Letters (Epl). 53: 169-175. DOI: 10.1209/Epl/I2001-00132-1 |
0.77 |
|
| 2001 |
Biehl M, Ahr M, Kinne M, Kinzel W, Schinzer S. Particle currents and the distribution of terrace sizes in unstable epitaxial growth Physical Review B. 64. DOI: 10.1103/Physrevb.64.113405 |
0.765 |
|
| 2001 |
Biehl M, Kühn R, Stamatescu IO. CORRIGENDUM: Learning structured data from unspecific reinforcement Journal of Physics A. 34: 4267. DOI: 10.1088/0305-4470/34/19/501 |
0.372 |
|
| 2001 |
Biehl M, Bunzmann C, Urbanczik R. Training multilayer perceptrons by principal component analysis Physica a: Statistical Mechanics and Its Applications. 302: 56-63. DOI: 10.1016/S0378-4371(01)00440-X |
0.778 |
|
| 2001 |
Ahr M, Biehl M. Modelling sublimation and atomic layer epitaxy in the presence of competing surface reconstructions Surface Science. 488: L553-L560. DOI: 10.1016/S0039-6028(01)01157-8 |
0.765 |
|
| 2000 |
Ahr M, Biehl M. Singularity spectra of rough growing surfaces from wavelet analysis Physical Review. E, Statistical Physics, Plasmas, Fluids, and Related Interdisciplinary Topics. 62: 1773-7. PMID 11088639 DOI: 10.1103/Physreve.62.1773 |
0.767 |
|
| 2000 |
Biehl M, Kühn R, Stamatescu I. Learning structured data from unspecific reinforcement Journal of Physics a: Mathematical and General. 33: 6843-6857. DOI: 10.1088/0305-4470/33/39/302 |
0.389 |
|
| 2000 |
Ahr M, Biehl M, Kinne M, Kinzel W. The influence of the crystal lattice on coarsening in unstable epitaxial growth Surface Science. 465: 339-346. DOI: 10.1016/S0039-6028(00)00725-1 |
0.765 |
|
| 1999 |
Freking A, Biehl M, Braun C, Kinzel W, Meesmann M. Receiver operating characteristics of perceptrons: influence of sample size and prevalence. Physical Review. E, Statistical Physics, Plasmas, Fluids, and Related Interdisciplinary Topics. 60: 5926-31. PMID 11970494 DOI: 10.1103/Physreve.60.5926 |
0.694 |
|
| 1999 |
Schinzer S, Sokolowski M, Biehl M, Kinzel W. Unconventional MBE strategies from computer simulations for optimized growth conditions Physical Review B. 60: 2893-2899. DOI: 10.1103/Physrevb.60.2893 |
0.681 |
|
| 1999 |
Ahr M, Biehl M, Urbanczik R. Noisy regression and classification with continuous multilayer networks Journal of Physics a: Mathematical and General. 32: L531-L536. DOI: 10.1088/0305-4470/32/50/101 |
0.788 |
|
| 1999 |
Ahr M, Biehl M, Schlösser E. Weight-decay induced phase transitions in multilayer neural networks Journal of Physics a: Mathematical and General. 32: 5003-5008. DOI: 10.1088/0305-4470/32/27/301 |
0.771 |
|
| 1999 |
Schlösser E, Saad D, Biehl M. Optimization of on-line principal component analysis Journal of Physics A. 32: 4061-4067. DOI: 10.1088/0305-4470/32/22/306 |
0.387 |
|
| 1999 |
Schinzer S, Kinne M, Biehl M, Kinzel W. The role of step edge diffusion in epitaxial crystal growth Surface Science. 439: 191-198. DOI: 10.1016/S0039-6028(99)00761-X |
0.687 |
|
| 1999 |
Schinzer S, Sokolowski M, Biehl M, Kinzel W. Evaporation and step edge diffusion in MBE Journal of Crystal Growth. 201202: 85-87. DOI: 10.1016/S0022-0248(98)01293-7 |
0.681 |
|
| 1999 |
Biehl M, Kinne M, Kinzel W, Schinzer S. A simple model of epitaxial growth: the influence of step edge diffusion Computer Physics Communications. 347-352. DOI: 10.1016/S0010-4655(99)00351-3 |
0.684 |
|
| 1999 |
Ahr M, Biehl M, Urbanczik R. Statistical physics and practical training of soft-committee machines The European Physical Journal B. 10: 583-588. DOI: 10.1007/S100510050889 |
0.805 |
|
| 1998 |
Biehl M, Schlösser E, Ahr M. Phase transitions in soft-committee machines Europhysics Letters (Epl). 44: 261-267. DOI: 10.1209/Epl/I1998-00466-6 |
0.78 |
|
| 1998 |
Biehl M, Kinzel W, Schinzer S. A simple model of epitaxial growth Epl. 41: 443-448. DOI: 10.1209/Epl/I1998-00171-0 |
0.692 |
|
| 1998 |
Rosen-Zvi M, Biehl M, Kanter I. Learnability of periodic activation functions: General results Physical Review E. 58: 3606-3609. DOI: 10.1103/Physreve.58.3606 |
0.364 |
|
| 1998 |
Biehl M, Schlösser E. The dynamics of on-line principal component analysis Journal of Physics a: Mathematical and General. 31: L97-L103. DOI: 10.1088/0305-4470/31/5/002 |
0.404 |
|
| 1998 |
Biehl M, Freking A, Reents G, Schlösser E. Specialization processes in on-line unsupervised learning Philosophical Magazine B. 77: 1487-1494. DOI: 10.1080/13642819808205040 |
0.451 |
|
| 1997 |
Biehl M, Freking A, Reents G. Dynamics of on-line competitive learning Europhysics Letters (Epl). 38: 73-78. DOI: 10.1209/Epl/I1997-00536-9 |
0.418 |
|
| 1997 |
Copelli M, Eichhorn R, Kinouchi O, Biehl M, Simonetti R, Riegler P, Caticha N. Noise robustness in multilayer neural networks Europhysics Letters. 37: 427-432. DOI: 10.1209/Epl/I1997-00167-2 |
0.783 |
|
| 1997 |
Biehl M, Riegler P. Comment on ``On-Line Gibbs Learning'' Physical Review Letters. 78: 4305-4305. DOI: 10.1103/Physrevlett.78.4305 |
0.737 |
|
| 1996 |
Biehl M, Riegler P, Wöhler C. Transient dynamics of on-line learning in two-layered neural networks Journal of Physics a: Mathematical and General. 29: 4769-4780. DOI: 10.1088/0305-4470/29/16/005 |
0.751 |
|
| 1995 |
Biehl M, Riegler P, Stechert M. Learning from noisy data: An exactly solvable model. Physical Review. E, Statistical Physics, Plasmas, Fluids, and Related Interdisciplinary Topics. 52: R4624-R4627. PMID 9964090 DOI: 10.1103/Physreve.52.R4624 |
0.75 |
|
| 1995 |
Marangi C, Biehl M, Solla SA. Supervised Learning from Clustered Input Examples Europhysics Letters (Epl). 30: 117-122. DOI: 10.1209/0295-5075/30/2/010 |
0.34 |
|
| 1995 |
Biehl M, Schwarze H. Learning by on-line gradient descent Journal of Physics a: Mathematical and General. 28: 643-656. DOI: 10.1088/0305-4470/28/3/018 |
0.444 |
|
| 1995 |
Riegler P, Biehl M. On-line backpropagation in two-layered neural networks Journal of Physics a: Mathematical and General. 28: L507-L513. DOI: 10.1088/0305-4470/28/20/002 |
0.719 |
|
| 1994 |
Biehl M, Riegler P. On-Line Learning with a Perceptron Europhysics Letters (Epl). 28: 525-530. DOI: 10.1209/0295-5075/28/7/012 |
0.746 |
|
| 1994 |
Biehl M. An Exactly Solvable Model of Unsupervised Learning Europhysics Letters (Epl). 25: 391-396. DOI: 10.1209/0295-5075/25/5/014 |
0.443 |
|
| 1994 |
Biehl M, Mietzner A. Statistical mechanics of unsupervised structure recognition Journal of Physics a: Mathematical and General. 27: 1885-1897. DOI: 10.1088/0305-4470/27/6/015 |
0.434 |
|
| 1993 |
Biehl M, Mietzner A. Statistical Mechanics of Unsupervised Learning Europhysics Letters (Epl). 24: 421-426. DOI: 10.1209/0295-5075/24/5/017 |
0.439 |
|
| 1993 |
Watkin TLH, Rau A, Biehl M. The Statistical-Mechanics Of Learning A Rule Reviews of Modern Physics. 65: 499-556. DOI: 10.1103/Revmodphys.65.499 |
0.376 |
|
| 1993 |
Biehl M, Schwarze H. Learning drifting concepts with neural networks Journal of Physics a: Mathematical and General. 26: 2651-2665. DOI: 10.1088/0305-4470/26/11/014 |
0.422 |
|
| 1992 |
Biehl M, Schwarze H. On-Line Learning of a Time-Dependent Rule Europhysics Letters (Epl). 20: 733-738. DOI: 10.1209/0295-5075/20/8/012 |
0.412 |
|
| 1991 |
Biehl M, Opper M. Tilinglike learning in the parity machine. Physical Review. A. 44: 6888-6894. PMID 9905815 DOI: 10.1103/Physreva.44.6888 |
0.342 |
|
| 1989 |
Anlauf JK, Biehl M. The AdaTron: An Adaptive Perceptron Algorithm Europhysics Letters (Epl). 10: 687-692. DOI: 10.1209/0295-5075/10/7/014 |
0.383 |
|
| Low-probability matches (unlikely to be authored by this person) |
| 1993 |
Biehl M, Opper M. Construction algorithm for the parity-machine Physica a: Statistical Mechanics and Its Applications. 193: 307-313. DOI: 10.1016/0378-4371(93)90477-L |
0.299 |
|
| 2010 |
Offringa AR, de Bruyn AG, Biehl M, Zaroubi S, Bernardi G, Pandey VN. Post-correlation radio frequency interference classification methods Monthly Notices of the Royal Astronomical Society. 405: 155-167. DOI: 10.1111/J.1365-2966.2010.16471.X |
0.295 |
|
| 2010 |
Käastner M, Hammer B, Biehl M, Villmann T. Generalized functional relevance learning vector quantization Esann 2011 Proceedings, 19th European Symposium On Artificial Neural Networks, Computational Intelligence and Machine Learning. 93-98. |
0.292 |
|
| 2015 |
de Vries G, Lemmens P, Brokken D, Pauws S, Biehl M. Towards Emotion Classification Using Appraisal Modeling International Journal of Synthetic Emotions. 6: 40-59. DOI: 10.4018/Ijse.2015010103 |
0.29 |
|
| 2016 |
Schulz A, Mokbel B, Biehl M, Hammer B. Inferring feature relevances from metric learning Proceedings - 2015 Ieee Symposium Series On Computational Intelligence, Ssci 2015. 1599-1606. DOI: 10.1109/SSCI.2015.225 |
0.287 |
|
| 2019 |
Chortis V, Bancos I, Nijman T, Gilligan LC, Taylor AE, Ronchi CL, O'Reilly MW, Schreiner J, Asia M, Riester A, Perotti P, Libé R, Quinkler M, Canu L, Paiva I, ... ... Biehl M, et al. Urine steroid metabolomics as a novel tool for detection of recurrent adrenocortical carcinoma. The Journal of Clinical Endocrinology and Metabolism. PMID 31665449 DOI: 10.1210/Clinem/Dgz141 |
0.287 |
|
| 2005 |
Volkmann T, Much F, Biehl M, Kotrla M. Interplay of strain relaxation and chemically induced diffusion barriers: Nanostructure formation in 2D alloys Surface Science. 586: 157-173. DOI: 10.1016/J.Susc.2005.05.010 |
0.285 |
|
| 2003 |
Much F, Biehl M. Simulation of wetting-layer and island formation in heteroepitaxial growth Europhysics Letters. 63: 14-20. DOI: 10.1209/Epl/I2003-00471-9 |
0.277 |
|
| 2016 |
Melchert F, Seiffert U, Biehl M. Functional representation of prototypes in LVQ and relevance learning Advances in Intelligent Systems and Computing. 428: 317-327. DOI: 10.1007/978-3-319-28518-4_28 |
0.267 |
|
| 2010 |
Quinn JA, Mooij J, Heskes T, Biehl M. Learning of causal relations Esann 2011 Proceedings, 19th European Symposium On Artificial Neural Networks, Computational Intelligence and Machine Learning. 287-296. |
0.255 |
|
| 2012 |
Biehl M, Bunte K, Schleif FM, Schneider P, Villmann T. Large margin linear discriminative visualization by matrix relevance learning Proceedings of the International Joint Conference On Neural Networks. DOI: 10.1109/IJCNN.2012.6252627 |
0.252 |
|
| 2015 |
de Vries GJ, Pauws S, Biehl M. Facial expression recognition using learning vector quantization Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 9257: 760-771. DOI: 10.1007/978-3-319-23117-4_65 |
0.248 |
|
| 1990 |
Anlauf JK, Biehl M. The AdaTron: An Adaptive Perceptron Algorithm Europhysics Letters (Epl). 11: 387-387. DOI: 10.1209/0295-5075/11/4/016 |
0.248 |
|
| 2013 |
Müller M, Schlenker L, Biehl M. Play real - Collaborative mock trial training in the OpenSim-based virtual learning world | Play real - Kollaboratives mock-trial-training in der OpenSim-basierten Virtual learning world Online Communities: Enterprise Networks, Open Education and Global Communication - 16. Workshop Geneme 2013. 225-235. |
0.247 |
|
| 2013 |
Müller M, Schlenker L, Biehl M. Play real - Collaborative mock trial training in the OpenSim-based virtual learning world | Play real - Kollaboratives mock-trial-training in der OpenSim-basierten Virtual learning world Online Communities: Enterprise Networks, Open Education and Global Communication - 16. Workshop Geneme 2013. 225-235. |
0.247 |
|
| 2011 |
Bunte K, Biehl M, Jonkman MF, Petkov N. Learning effective color features for content based image retrieval in dermatology Pattern Recognition. 44: 1892-1902. DOI: 10.1016/j.patcog.2010.10.024 |
0.242 |
|
| 2010 |
Mwebaze E, Biehl M, Quinn JA. Causal relevance learning for robust classification under interventions Esann 2011 Proceedings, 19th European Symposium On Artificial Neural Networks, Computational Intelligence and Machine Learning. 315-320. |
0.241 |
|
| 2013 |
Lange M, Biehl M, Villmann T. Non-euclidean independent component analysis and Oja's learning Esann 2013 Proceedings, 21st European Symposium On Artificial Neural Networks, Computational Intelligence and Machine Learning. 125-130. |
0.24 |
|
| 2015 |
de Wiljes OO, van Elburg RA, Biehl M, Keijzer FA. Modeling spontaneous activity across an excitable epithelium: Support for a coordination scenario of early neural evolution. Frontiers in Computational Neuroscience. 9: 110. PMID 26441620 DOI: 10.1186/1471-2202-16-S1-P120 |
0.238 |
|
| 2008 |
Rossi F, Biehl M, Bahón CA. Progress in modeling, theory, and application of computational intelligence Neurocomputing. 71: 1117-1119. DOI: 10.1016/J.Neucom.2007.12.019 |
0.234 |
|
| 2015 |
Hormoz S, Bhanot G, Biehl M, Bilal E, Meyer P, Norel R, Rhrissorrakrai K, Dayarian A. Inter-species inference of gene set enrichment in lung epithelial cells from proteomic and large transcriptomic datasets. Bioinformatics (Oxford, England). 31: 492-500. PMID 25152231 DOI: 10.1093/Bioinformatics/Btu569 |
0.228 |
|
| 2014 |
Biehl M. Prototype-Based Classifiers and Their Application in the Life Sciences Advances in Intelligent Systems and Computing. 295: 121. DOI: 10.1007/978-3-319-07695-9_11 |
0.227 |
|
| 2018 |
Idema DL, Wang Y, Biehl M, Horvatovich PL, Hak E. Effect estimate comparison between the prescription sequence symmetry analysis (PSSA) and parallel group study designs: A systematic review. Plos One. 13: e0208389. PMID 30521568 DOI: 10.1371/Journal.Pone.0208389 |
0.224 |
|
| 2020 |
Panda A, Yadav A, Yeerna H, Singh A, Biehl M, Lux M, Schulz A, Klecha T, Doniach S, Khiabanian H, Ganesan S, Tamayo P, Bhanot G. Tissue- and development-stage-specific mRNA and heterogeneous CNV signatures of human ribosomal proteins in normal and cancer samples. Nucleic Acids Research. PMID 32525984 DOI: 10.1093/Nar/Gkaa485 |
0.215 |
|
| 2015 |
Dayarian A, Romero R, Wang Z, Biehl M, Bilal E, Hormoz S, Meyer P, Norel R, Rhrissorrakrai K, Bhanot G, Luo F, Tarca AL. Predicting protein phosphorylation from gene expression: top methods from the IMPROVER Species Translation Challenge. Bioinformatics (Oxford, England). 31: 462-70. PMID 25061067 DOI: 10.1093/Bioinformatics/Btu490 |
0.207 |
|
| 2008 |
Floren A, Freking A, Biehl M, Linsenmair KE. Anthropogenic disturbance changes the structure of arboreal tropical ant communities Ecography. 24: 547-554. DOI: 10.1111/J.1600-0587.2001.Tb00489.X |
0.204 |
|
| 2014 |
Davis CF, Ricketts CJ, Wang M, Yang L, Cherniack AD, Shen H, Buhay C, Kang H, Kim SC, Fahey CC, Hacker KE, Bhanot G, Gordenin DA, Chu A, Gunaratne PH, ... Biehl M, et al. The somatic genomic landscape of chromophobe renal cell carcinoma. Cancer Cell. 26: 319-30. PMID 25155756 DOI: 10.1016/J.Ccr.2014.07.014 |
0.201 |
|
| 2013 |
Kulvicius T, Biehl M, Aein MJ, Tamosiunaite M, Wörgötter F. Interaction learning for dynamic movement primitives used in cooperative robotic tasks Robotics and Autonomous Systems. 61: 1450-1459. DOI: 10.1016/J.Robot.2013.07.009 |
0.194 |
|
| 2020 |
Moolla A, de Boer J, Pavlov D, Amin A, Taylor A, Gilligan L, Hughes B, Ryan J, Barnes E, Hassan-Smith Z, Grove J, Aithal GP, Verrijken A, Francque S, Van Gaal L, ... ... Biehl M, et al. Accurate non-invasive diagnosis and staging of non-alcoholic fatty liver disease using the urinary steroid metabolome. Alimentary Pharmacology & Therapeutics. PMID 32298002 DOI: 10.1111/Apt.15710 |
0.19 |
|
| 2015 |
Yeo L, Adlard N, Biehl M, Juarez M, Smallie T, Snow M, Buckley CD, Raza K, Filer A, Scheel-Toellner D. Expression of chemokines CXCL4 and CXCL7 by synovial macrophages defines an early stage of rheumatoid arthritis. Annals of the Rheumatic Diseases. PMID 25858640 DOI: 10.1136/Annrheumdis-2014-206921 |
0.182 |
|
| 2017 |
Arlt W, Lang K, Sitch AJ, Dietz AS, Rhayem Y, Bancos I, Feuchtinger A, Chortis V, Gilligan LC, Ludwig P, Riester A, Asbach E, Hughes BA, O'Neil DM, Bidlingmaier M, ... ... Biehl M, et al. Steroid metabolome analysis reveals prevalent glucocorticoid excess in primary aldosteronism. Jci Insight. 2. PMID 28422753 DOI: 10.1172/Jci.Insight.93136 |
0.182 |
|
| 2022 |
van Veen R, Meles SK, Renken RJ, Reesink FE, Oertel WH, Janzen A, de Vries GJ, Leenders KL, Biehl M. FDG-PET combined with learning vector quantization allows classification of neurodegenerative diseases and reveals the trajectory of idiopathic REM sleep behavior disorder. Computer Methods and Programs in Biomedicine. 225: 107042. PMID 35970056 DOI: 10.1016/j.cmpb.2022.107042 |
0.159 |
|
| 2023 |
Prete A, Lang K, Pavlov D, Rhayem Y, Sitch AJ, Franke AS, Gilligan LC, Shackleton CHL, Hahner S, Quinkler M, Dekkers T, Deinum J, Reincke M, Beuschlein F, Biehl M, et al. Urine steroid metabolomics as a diagnostic tool in primary aldosteronism. The Journal of Steroid Biochemistry and Molecular Biology. 237: 106445. PMID 38104729 DOI: 10.1016/j.jsbmb.2023.106445 |
0.157 |
|
| 2015 |
Frenay B, Hofmann D, Schulz A, Biehl M, Hammer B. Valid interpretation of feature relevance for linear data mappings Ieee Ssci 2014 - 2014 Ieee Symposium Series On Computational Intelligence - Cidm 2014: 2014 Ieee Symposium On Computational Intelligence and Data Mining, Proceedings. 149-156. DOI: 10.1109/CIDM.2014.7008661 |
0.129 |
|
| 2024 |
van Veen R, Tamboli NRB, Lövdal S, Meles SK, Renken RJ, de Vries GJ, Arnaldi D, Morbelli S, Clavero P, Obeso JA, Oroz MCR, Leenders KL, Villmann T, Biehl M. Subspace corrected relevance learning with application in neuroimaging. Artificial Intelligence in Medicine. 149: 102786. PMID 38462286 DOI: 10.1016/j.artmed.2024.102786 |
0.12 |
|
| 2010 |
Bunte K, Hammer B, Villmann T, Biehl M, Wismüller A. Exploratory observation machine (XOM) with kullback-leibler divergence for dimensionality reduction and visualization Proceedings of the 18th European Symposium On Artificial Neural Networks - Computational Intelligence and Machine Learning, Esann 2010. 87-92. |
0.113 |
|
| 2015 |
Biehl M, Sadowski P, Bhanot G, Bilal E, Dayarian A, Meyer P, Norel R, Rhrissorrakrai K, Zeller MD, Hormoz S. Inter-species prediction of protein phosphorylation in the sbv IMPROVER species translation challenge. Bioinformatics (Oxford, England). 31: 453-61. PMID 24994890 DOI: 10.1093/Bioinformatics/Btu407 |
0.088 |
|
| 2015 |
Biehl M, Sadowski P, Bhanot G, Bilal E, Dayarian A, Meyer P, Norel R, Rhrissorrakrai K, Zeller MD, Hormoz S. Inter-species prediction of protein phosphorylation in the sbv IMPROVER species translation challenge. Bioinformatics (Oxford, England). 31: 453-61. PMID 24994890 DOI: 10.1093/Bioinformatics/Btu407 |
0.088 |
|
| 2010 |
Schneider P, Geweniger T, Schleif FM, Biehl M, Villmann T. Multivariate class labeling in robust soft LVQ Esann 2011 Proceedings, 19th European Symposium On Artificial Neural Networks, Computational Intelligence and Machine Learning. 17-22. |
0.083 |
|
| 2012 |
Salazar J, Husted BW, Biehl M. Thoughts on the Evaluation of Corporate Social Performance Through Projects Journal of Business Ethics. 105: 175-186. DOI: 10.1007/S10551-011-0957-Z |
0.072 |
|
| 2013 |
Persson M, Törngren M, Qamar A, Westman J, Biehl M, Tripakis S, Vangheluwe H, Denil J. A characterization of integrated multi-view modeling in the context of embedded and cyber-physical systems 2013 Proceedings of the International Conference On Embedded Software, Emsoft 2013. DOI: 10.1109/EMSOFT.2013.6658588 |
0.071 |
|
| 2012 |
Mian Z, Bottaci L, Papadopoulos Y, Biehl M. System dependability modelling and analysis using AADL and HiP-HOPS Ifac Proceedings Volumes (Ifac-Papersonline). 14: 1647-1652. DOI: 10.3182/20120523-3-RO-2023.00334 |
0.07 |
|
| 2012 |
Mian Z, Bottaci L, Papadopoulos Y, Biehl M. System dependability modelling and analysis using AADL and HiP-HOPS Ifac Proceedings Volumes (Ifac-Papersonline). 14: 1647-1652. DOI: 10.3182/20120523-3-RO-2023.00334 |
0.07 |
|
| 1999 |
Funke M, Netsch T, Breiter N, Biehl M, Peitgen HO, Grabbe E. [Computer-assisted visualization of digital mammography images]. RöFo : Fortschritte Auf Dem Gebiete Der RöNtgenstrahlen Und Der Nuklearmedizin. 171: 359-63. PMID 10619037 DOI: 10.1055/s-1999-260 |
0.067 |
|
| 2010 |
Bunte K, Biehl M, Hammer B. Supervised dimension reduction mappings Esann 2011 Proceedings, 19th European Symposium On Artificial Neural Networks, Computational Intelligence and Machine Learning. 281-286. |
0.066 |
|
| 2012 |
Biehl M, Törngren M. A cost-efficiency model for tool chains Proceedings - 2012 Ieee 7th International Conference On Global Software Engineering Workshops, Icgsew 2012. 6-11. DOI: 10.1109/ICGSEW.2012.13 |
0.065 |
|
| 2012 |
Biehl M, Törngren M. A cost-efficiency model for tool chains Proceedings - 2012 Ieee 7th International Conference On Global Software Engineering Workshops, Icgsew 2012. 6-11. DOI: 10.1109/ICGSEW.2012.13 |
0.065 |
|
| 2020 |
Bancos I, Taylor AE, Chortis V, Sitch AJ, Jenkinson C, Davidge-Pitts CJ, Lang K, Tsagarakis S, Macech M, Riester A, Deutschbein T, Pupovac ID, Kienitz T, Prete A, Papathomas TG, ... ... Biehl M, et al. Urine steroid metabolomics for the differential diagnosis of adrenal incidentalomas in the EURINE-ACT study: a prospective test validation study. The Lancet. Diabetes & Endocrinology. PMID 32711725 DOI: 10.1016/S2213-8587(20)30218-7 |
0.061 |
|
| 2014 |
Biehl M, El-Khoury J, Loiret F, Törngren M. On the modeling and generation of service-oriented tool chains Software and Systems Modeling. 13: 461-480. DOI: 10.1007/s10270-012-0275-7 |
0.06 |
|
| 2013 |
Biehl M, Sosa JD, Torngren M, Diaz O. Efficient construction of presentation integration for web-based and desktop development tools Proceedings - International Computer Software and Applications Conference. 697-702. DOI: 10.1109/COMPSACW.2013.123 |
0.06 |
|
| 2013 |
Biehl M, Sosa JD, Torngren M, Diaz O. Efficient construction of presentation integration for web-based and desktop development tools Proceedings - International Computer Software and Applications Conference. 697-702. DOI: 10.1109/COMPSACW.2013.123 |
0.06 |
|
| 2016 |
Mudali D, Biehl M, Leenders KL, Roerdink JBTM. LVQ and SVM classification of FDG-PET brain data Advances in Intelligent Systems and Computing. 428: 205-215. DOI: 10.1007/978-3-319-28518-4_18 |
0.059 |
|
| 2012 |
Biehl M, El-Khoury J, Törngren M. High-level specification and code generation for service-oriented tool adapters Proceedings - 12th International Conference On Computational Science and Its Applications, Iccsa 2012. 35-42. DOI: 10.1109/ICCSA.2012.16 |
0.058 |
|
| 2012 |
Biehl M, El-Khoury J, Törngren M. High-level specification and code generation for service-oriented tool adapters Proceedings - 12th International Conference On Computational Science and Its Applications, Iccsa 2012. 35-42. DOI: 10.1109/ICCSA.2012.16 |
0.058 |
|
| 2011 |
Armengaud E, Zoier M, Baumgart A, Biehl M, Chen D, Griessnig G, Hein C, Ritter T, Tavakoli Kolagari R. Model-based toolchain for the efficient development of safety-relevant automotive embedded systems Sae Technical Papers. DOI: 10.4271/2011-01-0056 |
0.056 |
|
| 2015 |
Serpa Neto A, Hemmes SN, Barbas CS, Beiderlinden M, Biehl M, Binnekade JM, Canet J, Fernandez-Bustamante A, Futier E, Gajic O, Hedenstierna G, Hollmann MW, Jaber S, Kozian A, Licker M, et al. Protective versus Conventional Ventilation for Surgery: A Systematic Review and Individual Patient Data Meta-analysis. Anesthesiology. PMID 25978326 DOI: 10.1097/Aln.0000000000000706 |
0.056 |
|
| 2015 |
Serpa Neto A, Hemmes SN, Barbas CS, Beiderlinden M, Biehl M, Binnekade JM, Canet J, Fernandez-Bustamante A, Futier E, Gajic O, Hedenstierna G, Hollmann MW, Jaber S, Kozian A, Licker M, et al. Protective versus Conventional Ventilation for Surgery: A Systematic Review and Individual Patient Data Meta-analysis. Anesthesiology. PMID 25978326 DOI: 10.1097/Aln.0000000000000706 |
0.056 |
|
| 2012 |
Biehl M, Törngren M. An estimation model for the savings achievable by tool chains Proceedings - International Computer Software and Applications Conference. 488-492. DOI: 10.1109/COMPSACW.2012.92 |
0.055 |
|
| 2012 |
Biehl M, Törngren M. An estimation model for the savings achievable by tool chains Proceedings - International Computer Software and Applications Conference. 488-492. DOI: 10.1109/COMPSACW.2012.92 |
0.055 |
|
| 1997 |
Keelan ET, Sra JS, Axtell K, Maglio C, Underwood RD, Desphande S, Biehl M, Dhala A, Blanck Z, Jazayeri MR, Akhtar M. The effect of polarity of the initial phase of a biphasic shock waveform on the defibrillation threshold of pectorally implanted defibrillators. Pacing and Clinical Electrophysiology : Pace. 20: 337-42. PMID 9058871 |
0.054 |
|
| 1989 |
Biehl ML, Lambert RJ, Haschek WM, Buck WB, Schaeffer DJ. Evaluation of a superactivated charcoal paste and detergent and water in prevention of T-2 toxin-induced local cutaneous effects in topically exposed swine. Fundamental and Applied Toxicology : Official Journal of the Society of Toxicology. 13: 523-32. PMID 2612785 DOI: 10.1016/0272-0590(89)90289-3 |
0.047 |
|
| 2024 |
Miller H, Harman D, Aithal GP, Manousou P, Cobbold JF, Parker R, Sheridan D, Newsome PN, Karpe F, Neville M, Arlt W, Sitch AJ, Korbonits M, Biehl M, Alazawi W, et al. Translating the potential of the urine steroid metabolome to stage NAFLD (TrUSt-NAFLD): study protocol for a multicentre, prospective validation study. Bmj Open. 14: e074918. PMID 38238179 DOI: 10.1136/bmjopen-2023-074918 |
0.046 |
|
| 1997 |
Sra J, Bremner S, Krum D, Dhala A, Blanck Z, Deshpande S, Biehl M, Li H, Jazayeri MR, Akhtar M. The effect of biphasic waveform tilt in transvenous atrial defibrillation. Pacing and Clinical Electrophysiology : Pace. 20: 1613-8. PMID 9227757 |
0.045 |
|
| 2019 |
Anders C, Biehl M. Christian Witness in a Multi-religious World: Trajectories in the International Ecumenical Discussion Transformation: An International Journal of Holistic Mission Studies. 36: 3-11. DOI: 10.1177/0265378819831817 |
0.045 |
|
| 2014 |
Serpa Neto A, Simonis FD, Barbas CSV, Biehl M, Determann RM, Elmer J, Friedman G, Gajic O, Goldstein JN, Horn J, Juffermans NP, Linko R, De Oliveira RP, Sundar S, Talmor D, et al. Association between tidal volume size, duration of ventilation, and sedation needs in patients without acute respiratory distress syndrome: An individual patient data meta-analysis Intensive Care Medicine. 40: 950-957. PMID 24811940 DOI: 10.1007/s00134-014-3318-4 |
0.044 |
|
| 2012 |
Eubig PA, Biehl ML, Ferguson DC. Concern regarding application of exclusion criteria in PPA study. Journal of the American Veterinary Medical Association. 240: 373; author reply 37. PMID 22413181 DOI: 10.2460/javma.240.4.372 |
0.044 |
|
| 1995 |
Underwood RD, Deshpande SS, Biehl M, Cowan M, Akhtar M, Jazayeri MR. Radiofrequency catheter ablation of multiple morphologies of ventricular tachycardia by targeting a single region of the left ventricle. Journal of Cardiovascular Electrophysiology. 6: 1015-22. PMID 8589870 |
0.044 |
|
| 2014 |
Serpa Neto A, Simonis FD, Barbas CSV, Biehl M, Determann RM, Elmer J, Friedman G, Gajic O, Goldstein JN, Horn J, Juffermans NP, Linko R, De Oliveira RP, Sundar S, Talmor D, et al. Association between tidal volume size, duration of ventilation, and sedation needs in patients without acute respiratory distress syndrome: An individual patient data meta-analysis Intensive Care Medicine. 40: 950-957. PMID 24811940 DOI: 10.1007/s00134-014-3318-4 |
0.042 |
|
| 2013 |
Wang S, Singh B, Tian L, Biehl M, Krastev IL, Kojicic M, Li G. Epidemiology of noninvasive mechanical ventilation in acute respiratory failure - a retrospective population-based study Bmc Emergency Medicine. 13. PMID 23570601 DOI: 10.1186/1471-227X-13-6 |
0.042 |
|
| 2012 |
Zhang W, Møller-Pedersen B, Biehl M. A light-weight tool integration approach: From a tool integration model to OSLC integration services Icsoft 2012 - Proceedings of the 7th International Conference On Software Paradigm Trends. 137-146. |
0.041 |
|
| 2014 |
Cruppe LH, Day ML, Abreu FM, Kruse S, Lake SL, Biehl MV, Cipriano RS, Mussard ML, Bridges GA. The requirement of GnRH at the beginning of the five-day CO-Synch + controlled internal drug release protocol in beef heifers. Journal of Animal Science. 92: 4198-203. PMID 25057035 DOI: 10.2527/jas.2014-7772 |
0.039 |
|
| 1996 |
Dhala A, Gonzalez-Zuelgaray J, Deshpande S, Blanck Z, Biehl M, Sra J, Jazayeri M, Akhtar M. Unmasking the trifascicular left intraventricular conduction system by ablation of the right bundle branch. The American Journal of Cardiology. 77: 706-12. PMID 8651121 |
0.037 |
|
| 2012 |
Asplund F, Biehl M, El-Khoury J, Frede D, Törngren M. Tool integration, from tool to tool chain with ISO 26262 Sae Technical Papers. DOI: 10.4271/2012-01-0026 |
0.037 |
|
| 2012 |
Asplund F, Biehl M, El-Khoury J, Frede D, Törngren M. Tool integration, from tool to tool chain with ISO 26262 Sae Technical Papers. DOI: 10.4271/2012-01-0026 |
0.037 |
|
| 1987 |
Biehl ML, Buck WB. Chemical Contaminants: Their Metabolism and their Residues. Journal of Food Protection. 50: 1058-1073. PMID 30978833 DOI: 10.4315/0362-028X-50.12.1058 |
0.035 |
|
| 2019 |
Anders C, Biehl M. Christian witness in a multi-religious world Transformation: An International Journal of Holistic Mission Studies. 36: 1-2. DOI: 10.1177/0265378819831815 |
0.034 |
|
| 2014 |
Pagell M, Johnston D, Veltri A, Klassen R, Biehl M. Is safe production an oxymoron? Production and Operations Management. 23: 1161-1175. DOI: 10.1111/Poms.12100 |
0.033 |
|
| 2011 |
Gilaverte S, Susin I, Pires AV, Ferreira EM, Mendes CQ, Gentil RS, Biehl MV, Rodrigues GH. Diet digestibility, ruminal parameters and performance of santa ines sheep fed dried citrus pulp and wet brewer grain | Digestibilidade da dieta, parâmetros ruminais e desempenho de ovinos Santa inês alimentados com polpa cítrica peletizada e resíduo úmido de cervejaria Revista Brasileira De Zootecnia. 40: 639-647. DOI: 10.1590/S1516-35982011000300024 |
0.03 |
|
| 2014 |
Persson M, Bonnet S, Chen D, Törngren M, Zverlov S, Biehl M, Laurent O, Mitschke A, Shawky M. Architecture exploration Cesar - Cost-Efficient Methods and Processes For Safety-Relevant Embedded Systems. 145-178. DOI: 10.1007/978-3-7091-1387-5_4 |
0.029 |
|
| 2014 |
Persson M, Bonnet S, Chen D, Törngren M, Zverlov S, Biehl M, Laurent O, Mitschke A, Shawky M. Architecture exploration Cesar - Cost-Efficient Methods and Processes For Safety-Relevant Embedded Systems. 145-178. DOI: 10.1007/978-3-7091-1387-5_4 |
0.029 |
|
| 2012 |
Biehl M, Gu W, Loiret F. Model-based service discovery and orchestration for OSLC services in tool chains Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 7387: 283-290. DOI: 10.1007/978-3-642-31753-8_21 |
0.029 |
|
| 2012 |
Biehl M, Gu W, Loiret F. Model-based service discovery and orchestration for OSLC services in tool chains Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 7387: 283-290. DOI: 10.1007/978-3-642-31753-8_21 |
0.029 |
|
| 1997 |
Sra J, Maglio C, Biehl M, Dhala A, Blanck Z, Deshpande S, Jazayeri MR, Akhtar M. Efficacy of midodrine hydrochloride in neurocardiogenic syncope refractory to standard therapy. Journal of Cardiovascular Electrophysiology. 8: 42-6. PMID 9116967 |
0.028 |
|
| 2012 |
Biehl M. Early automated verification of tool chain design Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 7336: 40-50. DOI: 10.1007/978-3-642-31128-4_4 |
0.028 |
|
| 2011 |
Asplund F, Biehl M, El-Khoury J, Törngren M. Tool integration beyond Wasserman Lecture Notes in Business Information Processing. 83: 270-281. DOI: 10.1007/978-3-642-22056-2_29 |
0.026 |
|
| 2015 |
Neto AS, Simonis FD, Barbas CS, Biehl M, Determann RM, Elmer J, Friedman G, Gajic O, Goldstein JN, Linko R, Pinheiro de Oliveira R, Sundar S, Talmor D, Wolthuis EK, Gama de Abreu M, et al. Lung-Protective Ventilation With Low Tidal Volumes and the Occurrence of Pulmonary Complications in Patients Without Acute Respiratory Distress Syndrome: A Systematic Review and Individual Patient Data Analysis. Critical Care Medicine. 43: 2155-63. PMID 26181219 DOI: 10.1097/CCM.0000000000001189 |
0.026 |
|
| 2020 |
Bancos I, Taylor AE, Chortis V, Sitch AJ, Lang K, Prete A, Gilligan LC, Biehl M, Deeks JJ, Arlt W. Urine metabolomic phenotyping for detection of adrenocortical carcinoma: still a long way to go - Authors' reply. The Lancet. Diabetes & Endocrinology. 8: 877-878. PMID 33065058 DOI: 10.1016/S2213-8587(20)30345-4 |
0.026 |
|
| 2015 |
Molitor F, Sugerman S, Yu H, Biehl M, Aydin M, Levy M, Ponce NA. Reach of Supplemental Nutrition Assistance Program-Education (SNAP-Ed) interventions and nutrition and physical activity-related outcomes, California, 2011-2012. Preventing Chronic Disease. 12: E33. PMID 25764139 DOI: 10.5888/Pcd12.140449 |
0.026 |
|
| 2015 |
Molitor F, Sugerman S, Yu H, Biehl M, Aydin M, Levy M, Ponce NA. Reach of Supplemental Nutrition Assistance Program-Education (SNAP-Ed) interventions and nutrition and physical activity-related outcomes, California, 2011-2012. Preventing Chronic Disease. 12: E33. PMID 25764139 DOI: 10.5888/Pcd12.140449 |
0.026 |
|
| 2013 |
Chopra M, Riedel SS, Biehl M, Krieger S, von Krosigk V, Bäuerlein CA, Brede C, Garrote ALJ, Kraus S, Schäfer V, Ritz M, Mattenheimer K, Degla A, Mottok A, Einsele H, et al. Tumor necrosis factor receptor 2-dependent homeostasis of regulatory T cells as a player in TNF-induced experimental metastasis Carcinogenesis. 34: 1296-1303. PMID 23385062 DOI: 10.1093/carcin/bgt038 |
0.026 |
|
| 2013 |
Chopra M, Riedel SS, Biehl M, Krieger S, von Krosigk V, Bäuerlein CA, Brede C, Garrote ALJ, Kraus S, Schäfer V, Ritz M, Mattenheimer K, Degla A, Mottok A, Einsele H, et al. Tumor necrosis factor receptor 2-dependent homeostasis of regulatory T cells as a player in TNF-induced experimental metastasis Carcinogenesis. 34: 1296-1303. PMID 23385062 DOI: 10.1093/carcin/bgt038 |
0.026 |
|
| 1988 |
Biehl MM, Laarman LM. Legal problems of health care cost containment. Employment Relations Today. 15: 1-8. PMID 10293786 |
0.025 |
|
| 2015 |
Ofoma UR, Reriani MK, Biehl M, Kashyap R, Ahmed AH, Rabinstein AA, Gajic O. Neuromuscular and neuropsychological assessments in survivors of acute respiratory distress syndrome: exploratory comparisons with an at-risk cohort. Neurocritical Care. 22: 395-402. PMID 25450720 DOI: 10.1007/s12028-014-0087-4 |
0.025 |
|
| 2015 |
Ofoma UR, Reriani MK, Biehl M, Kashyap R, Ahmed AH, Rabinstein AA, Gajic O. Neuromuscular and neuropsychological assessments in survivors of acute respiratory distress syndrome: exploratory comparisons with an at-risk cohort. Neurocritical Care. 22: 395-402. PMID 25450720 DOI: 10.1007/s12028-014-0087-4 |
0.025 |
|
| 2012 |
Asplund F, Biehl M, Loiret F. Towards the automated qualification of tool chain design Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 7613: 392-399. DOI: 10.1007/978-3-642-33675-1_36 |
0.024 |
|
| 2012 |
Reriani M, Biehl M, Sloan JA, Malinchoc M, Gajic O. Effect of 24-hour mandatory vs on-demand critical care specialist presence on long-term survival and quality of life of critically ill patients in the intensive care unit of a teaching hospital. Journal of Critical Care. 27: 421.e1-7. PMID 22172796 DOI: 10.1016/j.jcrc.2011.10.001 |
0.024 |
|
| 1996 |
Li H, Hare J, Mughal K, Krum D, Biehl M, Deshpande S, Dhala A, Blanck Z, Sra J, Jazayeri M, Akhtar M. Distribution of atrial electrogram types during atrial fibrillation: effect of rapid atrial pacing and intercaval junction ablation. Journal of the American College of Cardiology. 27: 1713-21. PMID 8636559 |
0.024 |
|
| 2011 |
Ge X, Natsuaki MN, Jin R, Biehl MC. A Contextual Amplification Hypothesis: Pubertal Timing And Girls' Emotional And Behavioral Problems Understanding Girls' Problem Behavior: How Girls' Delinquency Develops in the Context of Maturity and Health, Co-Occurring Problems, and Relationships. 9-29. DOI: 10.1002/9780470977453.ch2 |
0.024 |
|
| 2012 |
Runge EM, Hoshino N, Biehl MJ, Ton S, Rochlin MW. Neurotrophin-4 is more potent than brain-derived neurotrophic factor in promoting, attracting and suppressing geniculate ganglion neurite outgrowth. Developmental Neuroscience. 34: 389-401. PMID 23151843 DOI: 10.1159/000342996 |
0.023 |
|
| 2001 |
Halpern-Felsher BL, Millstein SG, Ellen JM, Adler NE, Tschann JM, Biehl M. The role of behavioral experience in judging risks. Health Psychology : Official Journal of the Division of Health Psychology, American Psychological Association. 20: 120-6. PMID 11315729 DOI: 10.1037/0278-6133.20.2.120 |
0.023 |
|
| 2021 |
Chortis V, Sitch AJ, Bancos I, Prete A, Taylor AE, Biehl M, Deeks JJ, Arlt W. Comment on "A Modern Assessment of Cancer Risk in Adrenal Incidentalomas: Analysis of 2219 Patients" by Kahramangil B et al. Annals of Surgery. PMID 33914489 DOI: 10.1097/SLA.0000000000004804 |
0.023 |
|
| 1996 |
Sra JS, Maglio C, Dhala A, Blanck Z, Biehl M, Deshpande S, Keelan ET, Jazayeri MR, Akhtar M. Feasibility of atrial fibrillation detection and use of a preceding synchronization interval as a criterion for shock delivery in humans with atrial fibrillation. Journal of the American College of Cardiology. 28: 1532-8. PMID 8917268 |
0.022 |
|
| 2013 |
Mota DA, Berchielli TT, Canesin RC, Sader APdO, Mesana JD, Biehl MV. Estimation of fecal production, digesta flow and digestibility in dairy heifers with different indicator | Estimativa de produção fecal, fluxo de digesta e digestibilidade em novilhas leiteiras com utilização de diferentes indicadores Acta Scientiarum - Animal Sciences. 35: 181-186. DOI: 10.4025/actascianimsci.v35i2.17338 |
0.022 |
|
| 1993 |
Biehl ML, Prelusky DB, Koritz GD, Hartin KE, Buck WB, Trenholm HL. Biliary excretion and enterohepatic cycling of zearalenone in immature pigs. Toxicology and Applied Pharmacology. 121: 152-9. PMID 8337696 DOI: 10.1006/Taap.1993.1140 |
0.021 |
|
| 2001 |
Biehl M, Halpern-Felsher BL. Adolescents' and adults' understanding of probability expressions. The Journal of Adolescent Health : Official Publication of the Society For Adolescent Medicine. 28: 30-5. PMID 11137903 |
0.021 |
|
| 2018 |
Rao Hermon S, Biehl M, Chahla R. Views on workplace culture and climate: through the lens of retention and Title IV-E participation Journal of Public Child Welfare. 12: 380-397. DOI: 10.1080/15548732.2018.1431172 |
0.021 |
|
| 2011 |
Rodrigues GH, Susin I, Pires AV, Nussio LG, Gentil RS, Ferreira EM, Biehl MV, Ribeiro MF. Performance, carcass characteristics, apparent digestibility of nutrients, nitrogen metabolism and ruminal measures of lambs fed diets containing wet low pectin citrus pulp and/or dried citrus pulp | Desempenho, características da carcaça, digestibilidade aparente dos nutrientes, metabolismo de nitrogênio e parâmetros ruminais de cordeiros alimentados com rações contendo polpa cítrica úmida semidespectinada e/ou polpa cítrica desidratada Revista Brasileira De Zootecnia. 40: 2252-2261. DOI: 10.1590/S1516-35982011001000027 |
0.021 |
|
| 2003 |
Friestad C, Pirkis J, Biehl M, Irwin CE. Socioeconomic patterning of smoking, sedentary lifestyle, and overweight status among adolescents in Norway and the United States. The Journal of Adolescent Health : Official Publication of the Society For Adolescent Medicine. 33: 275-8. PMID 14519569 DOI: 10.1016/S1054-139X(03)00214-3 |
0.02 |
|
| 2013 |
Hartmann S, Günther N, Biehl M, Katzer A, Kuger S, Worschech E, Sukhorukov VL, Krohne G, Zimmermann H, Flentje M, Djuzenova CS. Hsp90 inhibition by NVP-AUY922 and NVP-BEP800 decreases migration and invasion of irradiated normoxic and hypoxic tumor cell lines Cancer Letters. 331: 200-210. PMID 23340178 DOI: 10.1016/j.canlet.2012.12.027 |
0.02 |
|
| 2013 |
Hartmann S, Günther N, Biehl M, Katzer A, Kuger S, Worschech E, Sukhorukov VL, Krohne G, Zimmermann H, Flentje M, Djuzenova CS. Hsp90 inhibition by NVP-AUY922 and NVP-BEP800 decreases migration and invasion of irradiated normoxic and hypoxic tumor cell lines Cancer Letters. 331: 200-210. PMID 23340178 DOI: 10.1016/j.canlet.2012.12.027 |
0.02 |
|
| 1998 |
Sra J, Biehl M, Blanck Z, Dhala A, Jazayeri MR, Deshpande S, Akhtar M. Spontaneous reinitiation of atrial fibrillation following transvenous atrial defibrillation. Pacing and Clinical Electrophysiology : Pace. 21: 1105-10. PMID 9604243 |
0.02 |
|
| 2012 |
Salazar J, Husted BW, Biehl M. Thoughts on the Evaluation of Corporate Social Performance Through Projects Journal of Business Ethics. 105: 175-186. DOI: 10.1007/s10551-011-0957-z |
0.019 |
|
| 2015 |
Biehl MJ, Raetzman LT. Rbpj-κ mediated Notch signaling plays a critical role in development of hypothalamic Kisspeptin neurons. Developmental Biology. PMID 26318021 DOI: 10.1016/j.ydbio.2015.08.016 |
0.018 |
|
| 2009 |
Wilkoff BL, Kudenchuk PJ, Buxton AE, Sharma A, Cook JR, Bhandari AK, Biehl M, Tomassoni G, Leonen A, Klevan LR, Hallstrom AP. The DAVID (Dual Chamber and VVI Implantable Defibrillator) II trial. Journal of the American College of Cardiology. 53: 872-80. PMID 19264245 DOI: 10.1016/j.jacc.2008.10.057 |
0.018 |
|
| 2009 |
Song AV, Morrell HE, Cornell JL, Ramos ME, Biehl M, Kropp RY, Halpern-Felsher BL. Perceptions of smoking-related risks and benefits as predictors of adolescent smoking initiation. American Journal of Public Health. 99: 487-92. PMID 19106420 DOI: 10.2105/Ajph.2008.137679 |
0.018 |
|
| 2004 |
Halpern-Felsher BL, Biehl M, Kropp RY, Rubinstein ML. Perceived risks and benefits of smoking: differences among adolescents with different smoking experiences and intentions. Preventive Medicine. 39: 559-67. PMID 15313096 DOI: 10.1016/j.ypmed.2004.02.017 |
0.015 |
|
| 2010 |
Biehl ML, Link B, Vanti AA, Schneider G. Information and Technology Management (ITM): Competitive advantage through customer relationship: The case of an automobile dealership E-Business Managerial Aspects, Solutions and Case Studies. 222-234. DOI: 10.4018/978-1-60960-463-9.ch013 |
0.015 |
|
| 2010 |
Diogo LP, Saitovitch D, Biehl M, Bahlis LF, Gutierres MC, O'Keeffe CF, Carvalhal GF, Caramori PRA. Is there an association between non-steroidal anti-inflammatory drugs and contrast nephropathy? | Há uma associação entre anti-inflamatórios não-esteroides e nefropatia induzida por contraste? Arquivos Brasileiros De Cardiologia. 95: 726-731. PMID 21109911 DOI: 10.1590/S0066-782X2010005000145 |
0.013 |
|
| 2010 |
Diogo LP, Saitovitch D, Biehl M, Bahlis LF, Gutierres MC, O'Keeffe CF, Carvalhal GF, Caramori PRA. Is there an association between non-steroidal anti-inflammatory drugs and contrast nephropathy? | Há uma associação entre anti-inflamatórios não-esteroides e nefropatia induzida por contraste? Arquivos Brasileiros De Cardiologia. 95: 726-731. PMID 21109911 DOI: 10.1590/S0066-782X2010005000145 |
0.013 |
|
| 2015 |
Schmickl CN, Biehl M, Wilson GA, Gajic O. Comparison of hospital mortality and long-term survival in patients with acute lung injury/ARDS vs cardiogenic pulmonary edema. Chest. 147: 618-25. PMID 25474475 DOI: 10.1378/chest.14-1371 |
0.013 |
|
| 2015 |
Schmickl CN, Biehl M, Wilson GA, Gajic O. Comparison of hospital mortality and long-term survival in patients with acute lung injury/ARDS vs cardiogenic pulmonary edema. Chest. 147: 618-25. PMID 25474475 DOI: 10.1378/chest.14-1371 |
0.013 |
|
| 1995 |
Biehl M. After the Corpus Christi Feast Day Procession Callaloo. 18: 339-340. DOI: 10.1353/cal.1995.0039 |
0.013 |
|
| 2012 |
Fiorentini G, Berchielli TT, Santana MCA, Dian PHM, Reis RA, Sampaio AAM, Biehl MV. Qualitative characteristics of meat from confined crossbred heifers fed with lipid sources Scientia Agricola. 69: 336-344. DOI: 10.1590/S0103-90162012000500008 |
0.013 |
|
| 2004 |
Newacheck PW, Park MJ, Brindis CD, Biehl M, Irwin CE. Trends in private and public health insurance for adolescents. Jama. 291: 1231-7. PMID 15010445 DOI: 10.1001/jama.291.10.1231 |
0.013 |
|
| 2013 |
Biehl M, Kashiouris MG, Gajic O. Ventilator-induced lung injury: Minimizing its impact in patients with or at risk for ARDS Respiratory Care. 58: 927-934. PMID 23709192 DOI: 10.4187/respcare.02347 |
0.012 |
|
| 2013 |
Biehl M, Kashiouris MG, Gajic O. Ventilator-induced lung injury: Minimizing its impact in patients with or at risk for ARDS Respiratory Care. 58: 927-934. PMID 23709192 DOI: 10.4187/respcare.02347 |
0.012 |
|
| 2014 |
Ferreira EM, Pires AV, Susin I, Gentil RS, Gilaverte S, de Oliveira Maia Parente M, Biehl MV, Di Mambro Ribeiro CV. Lamb performance, milk production and composition from ewes supplemented with soybean oil partially replaced by fish oil blend Livestock Science. 163: 51-61. DOI: 10.1016/j.livsci.2014.02.009 |
0.011 |
|
| 1997 |
Narasimhan C, Jazayeri MR, Sra J, Dhala A, Deshpande S, Biehl M, Akhtar M, Blanck Z. Ventricular tachycardia in valvular heart disease: facilitation of sustained bundle-branch reentry by valve surgery. Circulation. 96: 4307-13. PMID 9416897 |
0.011 |
|
| 2015 |
Trevisol E, Ferreira JC, Ackermann CL, Destro FC, Marques Filho WC, Carmagos AS, Biehl MV, do Amaral JB, de Figueiredo Pantoja JC, Sartori R, Ferreira JC. Luteal changes after treatment with sub-luteolytic doses of prostaglandin (cloprostenol sodium) in cattle. Animal Reproduction Science. 153: 8-12. PMID 25578505 DOI: 10.1016/j.anireprosci.2014.12.005 |
0.01 |
|
| 2015 |
Trevisol E, Ferreira JC, Ackermann CL, Destro FC, Marques Filho WC, Carmagos AS, Biehl MV, do Amaral JB, de Figueiredo Pantoja JC, Sartori R, Ferreira JC. Luteal changes after treatment with sub-luteolytic doses of prostaglandin (cloprostenol sodium) in cattle. Animal Reproduction Science. 153: 8-12. PMID 25578505 DOI: 10.1016/j.anireprosci.2014.12.005 |
0.01 |
|
| 2015 |
Chopra M, Brandl A, Siegmund D, Mottok A, Schäfer V, Biehl M, Kraus S, Bäuerlein CA, Ritz M, Mattenheimer K, Schwinn S, Seher A, Grabinger T, Einsele H, Rosenwald A, et al. Blocking TWEAK-Fn14 interaction inhibits hematopoietic stem cell transplantation-induced intestinal cell death and reduces GvHD. Blood. PMID 26012567 DOI: 10.1182/blood-2015-01-620583 |
0.01 |
|
| 2015 |
Biehl MJ, Raetzman LT. Rbpj-κ mediated Notch signaling plays a critical role in development of hypothalamic Kisspeptin neurons Developmental Biology. DOI: 10.1016/j.ydbio.2015.08.016 |
0.01 |
|
| 2014 |
Pagell M, Johnston D, Veltri A, Klassen R, Biehl M. Is safe production an oxymoron? Production and Operations Management. 23: 1161-1175. DOI: 10.1111/poms.12100 |
0.01 |
|
| 2014 |
Törngren M, Qamar A, Biehl M, Loiret F, El-Khoury J. Integrating viewpoints in the development of mechatronic products Mechatronics. 24: 745-762. DOI: 10.1016/j.mechatronics.2013.11.013 |
0.01 |
|
| 2013 |
Biehl M, Kashyap R, McCormick JB. Education of minorities to increase organ donation consent rate Critical Care Medicine. 41: e298-e299. PMID 24060803 DOI: 10.1097/CCM.0b013e3182978e1f |
0.01 |
|
| 2012 |
Schräml M, Biehl M. Kinetic screening in the antibody development process Methods in Molecular Biology. 901: 171-181. PMID 22723101 DOI: 10.1007/978-1-61779-931-0_11 |
0.01 |
|
| 2011 |
Rodrigues GH, Susin I, Pires AV, Queiroz MAA, do Amaral RC, Biehl MV, Gentil RS, Ferreira EM. Monoammonium phosphate in diets with high level of citrus pulp fed to feedlot lambs | Utilização de monoamônio fosfato em rações com elevado teor de polpa cítrica para cordeiros em confinamento Revista Brasileira De Zootecnia. 40: 2262-2266. DOI: 10.1590/S1516-35982011001000028 |
0.01 |
|
| 2011 |
Rodrigues GH, Susin I, Pires AV, Queiroz MAA, do Amaral RC, Biehl MV, Gentil RS, Ferreira EM. Monoammonium phosphate in diets with high level of citrus pulp fed to feedlot lambs | Utilização de monoamônio fosfato em rações com elevado teor de polpa cítrica para cordeiros em confinamento Revista Brasileira De Zootecnia. 40: 2262-2266. DOI: 10.1590/S1516-35982011001000028 |
0.01 |
|
| 2010 |
Ortiz P, Keegan N, Spoors J, Burnett R, Hedley J, Harris A, Burdess J, Velten T, Biehl M, Haberer W, Solomon M, Campitelli A, McNeil C. Development of a biosensor cartridge integrating active microfluidics, mems sensor technology and detection electronics 14th International Conference On Miniaturized Systems For Chemistry and Life Sciences 2010, Microtas 2010. 1: 543-545. |
0.01 |
|
| 2010 |
Maluf DZ, Pires AV, Susin I, Moreira RJdC, Madureira EH, Binelli M, Gonçalves JR, de Lima LG, Mendes CQ, Biehl MV. Evaluation of used progestagen implants on pregnancy rate in beef cows | Avaliação da reutilização de implantes contendo progestágenos na taxa de prenhez em vacas de corte Brazilian Journal of Veterinary Research and Animal Science. 47: 38-46. |
0.01 |
|
| 2003 |
Pirkis JE, Irwin CE, Brindis CD, Sawyer MG, Friestad C, Biehl M, Patton GC. Receipt of psychological or emotional counseling by suicidal adolescents. Pediatrics. 111: e388-93. PMID 12671157 |
0.01 |
|
| 1998 |
Burkhardt JE, Biehl ML, Kowsz KP, Kadyszewski E, Fisher DO, Ochoa R. Effects of cholestyramine and diet on small intestinal histomorphometry in rats. Toxicologic Pathology. 26: 271-5. PMID 9547867 |
0.01 |
|
| 1997 |
Blanck Z, Biehl M, Sra J, Dhala A, Akhtar M. Delivery of noncommitted shocks for nonsustained ventricular arrhythmias by a new implantable cardioverter defibrillator with abortive shock capability. Journal of Cardiovascular Electrophysiology. 8: 317-22. PMID 9083881 |
0.01 |
|
| 1997 |
Panotopoulos PT, Axtell K, Anderson AJ, Sra J, Blanck Z, Deshpande S, Biehl M, Keelan ET, Jazayeri MR, Akhtar M, Dhala A. Efficacy of the implantable cardioverter-defibrillator in the elderly. Journal of the American College of Cardiology. 29: 556-60. PMID 9060893 |
0.01 |
|
| 1996 |
Li H, Axtell K, Biehl M, Deshpande S, Dhala A, Blanck Z, Sra J, Jazayeri M, Akhtar M. Sudden death in patients with implantable cardioverter-defibrillators. American Heart Journal. 132: 986-8. PMID 8892772 |
0.01 |
|
| 1995 |
Koch K, Hanson DC, Newborg MF, Cooper K, Fouda HG, Biehl ML, Shepard RM, Donovan CB, Biggers MS, Ramchandani M. CP-123,369: a potent, orally active immunosuppressive agent. Inflammation Research : Official Journal of the European Histamine Research Society ... [Et Al.]. 44: S183-4. PMID 8548388 DOI: 10.1007/BF01778322 |
0.01 |
|
| 1995 |
Inskeep PB, Connolly AG, Cole MJ, Luther EW, Biehl ML, Marzetta CA, Savoy YE, Silber BM. Pharmacokinetics of tiqueside (beta-tigogenin cellobioside) in dogs, rats, rabbits, and monkeys. Journal of Pharmaceutical Sciences. 84: 12-4. PMID 7714734 |
0.01 |
|
| 1995 |
Koch K, Newborg MF, Hanson DC, Cooper K, Shepard RM, Biehl ML, Biggers MS, Ramchandani M, Schulte G, Snyder JR. The C-32 triacetyl-L-rhamnose derivative of ascomycin: a potent, orally active macrolactone immunosuppressant. Journal of Medicinal Chemistry. 38: 1255-8. PMID 7537331 |
0.01 |
|
| 1995 |
Biehl M. The Solipsists Callaloo. 18: 341-342. DOI: 10.1353/cal.1995.0040 |
0.01 |
|
| 1988 |
Vesonder RF, Lambert R, Wicklow DT, Biehl ML. Eurotium spp. and echinulin in feed refused by swine. Applied and Environmental Microbiology. 54: 830-1. PMID 3377495 |
0.01 |
|
| Hide low-probability matches. |
